Add pagination to contest data display in app.py

- Implemented pagination controls for the contest dataframe, allowing users to navigate through large datasets more easily.
- Initialized session state for current page tracking and calculated total pages based on the number of rows.
- Updated the dataframe display to show only the data for the current page, enhancing user experience and data visualization.

app.py

@@ -135,9 +135,34 @@ with tab2:
             )
 
         with col2:
-            # Display the paginated dataframe first
+            
+            # Initialize pagination in session state if not exists
+            if 'current_page' not in st.session_state:
+                st.session_state.current_page = 0
+            
+            # Calculate total pages
+            rows_per_page = 500
+            total_rows = len(st.session_state['Contest'])
+            total_pages = (total_rows + rows_per_page - 1) // rows_per_page
+            
+            # Create pagination controls
+            col1, col2, col3 = st.columns([1, 2, 1])
+            with col1:
+                if st.button("Previous Page") and st.session_state.current_page > 0:
+                    st.session_state.current_page -= 1
+            with col2:
+                st.write(f"Page {st.session_state.current_page + 1} of {total_pages}")
+            with col3:
+                if st.button("Next Page") and st.session_state.current_page < total_pages - 1:
+                    st.session_state.current_page += 1
+            
+            # Calculate start and end indices for current page
+            start_idx = st.session_state.current_page * rows_per_page
+            end_idx = min((st.session_state.current_page + 1) * rows_per_page, total_rows)
+            
+            # Display the paginated dataframe
             st.dataframe(
-                st.session_state['Contest'].style
+                st.session_state['Contest'].iloc[start_idx:end_idx].style
                 .background_gradient(axis=0)
                 .background_gradient(cmap='RdYlGn')
                 .format(precision=2),